[PDF][PDF] KNN technique for analysis and prediction of temperature and humidity data
SS Badhiye, NU Sambhe, PN Chatur - International Journal of …, 2013 - academia.edu
SS Badhiye, NU Sambhe, PN Chatur
International Journal of Computer Applications, 2013•academia.eduThe research investigates the data mining technique K-Nearest Neighbor resulting in a
predictor for numerical series. The series experimented with come from the climatic data
usually hard to forecast due to uncertainty. One approach of prediction is to spot patterns in
the past, when it is known in advance what followed them and verify it on more recent data. If
a pattern is followed by the same outcome frequently enough, it can be concluded that it is a
genuine relationship. Because this approach does not assume any special knowledge or …
predictor for numerical series. The series experimented with come from the climatic data
usually hard to forecast due to uncertainty. One approach of prediction is to spot patterns in
the past, when it is known in advance what followed them and verify it on more recent data. If
a pattern is followed by the same outcome frequently enough, it can be concluded that it is a
genuine relationship. Because this approach does not assume any special knowledge or …
Abstract
The research investigates the data mining technique K-Nearest Neighbor resulting in a predictor for numerical series. The series experimented with come from the climatic data usually hard to forecast due to uncertainty.
One approach of prediction is to spot patterns in the past, when it is known in advance what followed them and verify it on more recent data. If a pattern is followed by the same outcome frequently enough, it can be concluded that it is a genuine relationship. Because this approach does not assume any special knowledge or form of the regularities, the method is quite general applicable to other series not just climate.
academia.edu
以上显示的是最相近的搜索结果。 查看全部搜索结果